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Global Robustness Evaluation of Deep Neural Networks with Provable
  Guarantees for the $L_0$ Norm

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the L0L_0L0​ Norm

16 April 2018
Wenjie Ruan
Min Wu
Youcheng Sun
Xiaowei Huang
Daniel Kroening
Marta Kwiatkowska
    AAML
ArXivPDFHTML

Papers citing "Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the $L_0$ Norm"

10 / 10 papers shown
Title
Formal Verification of Long Short-Term Memory based Audio Classifiers: A
  Star based Approach
Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach
Neelanjana Pal
Taylor T. Johnson
27
0
0
16 Nov 2023
Verification of Deep Convolutional Neural Networks Using ImageStars
Verification of Deep Convolutional Neural Networks Using ImageStars
Hoang-Dung Tran
Stanley Bak
Weiming Xiang
Taylor T. Johnson
AAML
20
127
0
12 Apr 2020
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
39
741
0
19 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
27
187
0
29 May 2019
A Game-Based Approximate Verification of Deep Neural Networks with
  Provable Guarantees
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees
Min Wu
Matthew Wicker
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
21
111
0
10 Jul 2018
Concolic Testing for Deep Neural Networks
Concolic Testing for Deep Neural Networks
Youcheng Sun
Min Wu
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
Daniel Kroening
25
334
0
30 Apr 2018
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in
  Neural Networks
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
D. Gopinath
Guy Katz
C. Păsăreanu
Clark W. Barrett
AAML
50
87
0
02 Oct 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
332
5,849
0
08 Jul 2016
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